---
title: "Dashboard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source: embed
---
```{r setup, include=FALSE}
library(flexdashboard)
```
Column {data-width=650}
-----------------------------------------------------------------------
```{r}
library(tidyverse)
library(p8105.datasets)
library(plotly)
```
```{r}
data("instacart")
```
### Chart A
```{r}
instacart %>%
count(order_dow, aisle) %>%
filter(n > 3000) %>%
rename(number_of_orders = n, day_of_week = order_dow) %>%
mutate(day_of_week = as.character(day_of_week)) %>%
plot_ly(x = ~day_of_week, y = ~number_of_orders, color = ~ aisle, type = "scatter", mode = "line", colors = "viridis")
```
Column {data-width=350}
-----------------------------------------------------------------------
### Chart B
```{r}
instacart %>%
count(aisle) %>%
filter(n > 10000) %>%
mutate(
aisle = factor(aisle),
aisle = fct_reorder(aisle, n)
) %>%
plot_ly(x = ~aisle, y = ~n, color = ~aisle, type = "bar", colors = "viridis")
```
### Chart C
```{r}
instacart %>%
sample_n(size = 1000) %>%
select(order_number,order_hour_of_day, product_name, department) %>%
filter(department != "other") %>%
mutate(department = fct_reorder(department, order_hour_of_day)) %>%
plot_ly(y = ~order_hour_of_day, color = ~department, type = "box", colors = "viridis")
```